process_text
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
process_text has 15 facts recorded in Dontopedia across 2 references, with 3 live disagreements.
Mostly:rdf:type(2), has parameter(2), called with(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
appliesApplies(1)
- For Loop
ex:for-loop
invokesInvokes(1)
- For Loop
ex:for-loop
locationLocation(1)
- Unspecified Operations
ex:unspecified-operations
performedByPerformed by(1)
- Context Analysis
ex:context-analysis
processedByProcessed by(1)
- 600 Text Chunks
ex:600-text-chunks
returnedByReturned by(1)
- Doc Object
ex:doc-object
Other facts (14)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Function | [1] |
| Rdf:type | Python Function | [2] |
| Has Parameter | Text Parameter | [1] |
| Has Parameter | Lang Parameter | [1] |
| Called With | Text En Variable | [1] |
| Called With | Text Es Variable | [1] |
| Parameter Name | text | [2] |
| Returns | Doc Object | [2] |
| Called in | For Loop | [2] |
| Accepts | Text Parameter | [2] |
| Performs | Context Analysis | [2] |
| Processes | 600 Text Chunks | [2] |
| Applied to | Text Chunks | [2] |
| Stateless | true | [2] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (2)
ctx:claims/beam/407031c6-8e67-411e-a5b3-fe9a2898c457- full textbeam-chunktext/plain1 KB
doc:beam/407031c6-8e67-411e-a5b3-fe9a2898c457Show excerpt
text_en = "Apple is looking at buying U.K. startup for $1 billion." text_es = "La empresa Apple comprara una startup britanica por mil millones de dolares." print(process_text(text_en)) print(process_text(text_es)) ``` ### 3. **…
ctx:claims/beam/040ec810-efaf-485e-83d8-89d4a9d51004
See also
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